EggDetect Unit, the first non-invasive technology to detect egg fertility pre-incubation and the chicken's gender pre-hatching

Projektinformationen

EDU

ID Finanzhilfevereinbarung: 773801

DOI

10.3030/773801

Projekt abgeschlossen

EK-Unterschriftsdatum 12 Mai 2017

Startdatum 1 Juni 2017

Enddatum 30 September 2017

Finanziert unter

• SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy

Gesamtkosten

€ 71 429,00

EU-Beitrag

€ 50 000,00

Koordiniert durch

EGGDETECT LTD
Israel

Periodic Reporting for period 1 - EDU (EggDetect Unit, the first non-invasive technology to detect egg fertility pre-incubation and thechicken's gender pre-hatching)

Berichtszeitraum: 2017-06-01 bis 2017-09-30

Zusammenfassung vom Kontext und den Gesamtzielen des Projekts

The EggDetect Unit seeks to optimise the incubation process for laying poultry. Currently there is no method for fertility testing when the egg is laid and gender differentiation happens only once the chicks are hatched. Male chicks are not useful either as layers or to raise as meat for consumers. The birth ratio of male to female birds is roughly 50:50. Millions of male birds are culled via maceration or suffocation annually. This is a poor use of resources and creates unnecessary costs on top of the ethical implications.

Arbeit, die ab Beginn des Projekts bis zum Ende des durch den Bericht erfassten Berichtszeitraums geleistet wurde, und die wichtigsten bis dahin erzielten Ergebnisse

Over the course of the feasibility study EggDetect has contacted stake holders and secured sites for pilot trial, contacted interested customers who have expressed intent once results are verified. We have investigated our mvp and created a road map to future value adding features. We have also completed the design for our pilot trial.

Fortschritte, die über den aktuellen Stand der Technik hinausgehen und voraussichtliche potenzielle Auswirkungen (einschließlich der bis dato erzielten sozioökonomischen Auswirkungen und weiter gefassten gesellschaftlichen Auswirkungen des Projekts)

EggDetect's EggDetect Unit (EDU) enables non-invasive fertility detection before the eggs are incubated and can predict gender of the egg while still in-ovo with 98% accuracy. Infertile eggs are no longer incubated reducing incubator contamination and eliminating food waste. The EDU removes the need for the mass culling of day old male chicks and instead returns them to the circular economy including the need for fertilised eggs in vaccine production. Further developments include deep learning from data accumulation will help managers with process flow and breeders to see the impact of genetic variation as breeders change.

EDU Schematic